Benjie Wang

36 papers A* 9A 3Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Breaking the Factorization Barrier in Diffusion Language Models.
CoRR
Ian Li, Zilei Shao, Benjie Wang, Rose Yu, Guy Van den Broeck, Anji Liu
2025 J jnl
How to Marginalize in Causal Structure Learning?
CoRR
William Zhao, Guy Van den Broeck, Benjie Wang
2025 J jnl
Learning Tractable Distributions Of Language Model Continuations.
CoRR
Gwen Yidou Weng, Ian Li, Anji Liu, Oliver Broadrick, Guy Van den Broeck, Benjie Wang
2025 A* conf
On the Relationship Between Monotone and Squared Probabilistic Circuits.
AAAI
Benjie Wang, Guy Van den Broeck
2025 J jnl
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks.
J. Mach. Learn. Res.
Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang
2025 A conf
Restructuring Tractable Probabilistic Circuits.
AISTATS
Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck
2025 A* conf
Scaling Probabilistic Circuits via Monarch Matrices.
ICML
Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck
2025 J jnl
Scaling Probabilistic Circuits via Monarch Matrices.
CoRR
Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck
2025 A* conf
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation.
ICML
Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck
2025 J jnl
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation.
CoRR
Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck
2024 J jnl
A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata.
CoRR
Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, Benjie Wang
2024 A* conf
A Compositional Atlas for Algebraic Circuits.
NeurIPS
Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
2024 J jnl
A Compositional Atlas for Algebraic Circuits.
CoRR
Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
2024 A* conf
Neural structure learning with stochastic differential equations.
ICLR
Benjie Wang, Joel Jennings, Wenbo Gong
2024 J jnl
On the Relationship Between Monotone and Squared Probabilistic Circuits.
CoRR
Benjie Wang, Guy Van den Broeck
2024 J jnl
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks.
CoRR
Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang
2024 J jnl
Probabilistic Circuits for Cumulative Distribution Functions.
CoRR
Oliver Broadrick, William X. Cao, Benjie Wang, Martin Trapp, Guy Van den Broeck
2024 — conf
Provable Preimage Under-Approximation for Neural Networks.
TACAS (3)
Xiyue Zhang, Benjie Wang, Marta Kwiatkowska
2024 J jnl
Restructuring Tractable Probabilistic Circuits.
CoRR
Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck
2024 A* conf
Where is the signal in tokenization space?
EMNLP
Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck
2024 J jnl
Where is the signal in tokenization space?
CoRR
Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck
2023 A conf
Compositional Probabilistic and Causal Inference using Tractable Circuit Models.
AISTATS
Benjie Wang, Marta Kwiatkowska
2023 J jnl
Compositional Probabilistic and Causal Inference using Tractable Circuit Models.
CoRR
Benjie Wang, Marta Kwiatkowska
2023 J jnl
Neural Structure Learning with Stochastic Differential Equations.
CoRR
Benjie Wang, Joel Jennings, Wenbo Gong
2023 J jnl
On Preimage Approximation for Neural Networks.
CoRR
Xiyue Zhang, Benjie Wang, Marta Kwiatkowska
2022 J jnl
Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation.
CoRR
Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska
2022 A* conf
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits.
IJCAI
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
2022 J jnl
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits.
CoRR
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
2022 A* conf
Tractable Uncertainty for Structure Learning.
ICML
Benjie Wang, Matthew Wicker, Marta Kwiatkowska
2022 J jnl
Tractable Uncertainty for Structure Learning.
CoRR
Benjie Wang, Matthew Wicker, Marta Kwiatkowska
2021 A* conf
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions.
IJCAI
Benjie Wang, Clare Lyle, Marta Kwiatkowska
2021 J jnl
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions.
CoRR
Benjie Wang, Clare Lyle, Marta Kwiatkowska
2021 A conf
Statistically robust neural network classification.
UAI
Benjie Wang, Stefan Webb, Tom Rainforth
2020 — conf
Assessing Robustness of Text Classification through Maximal Safe Radius Computation.
EMNLP (Findings)
Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska
2020 J jnl
Assessing Robustness of Text Classification through Maximal Safe Radius Computation.
CoRR
Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska
2019 J jnl
Statistically Robust Neural Network Classification.
CoRR
Benjie Wang, Stefan Webb, Tom Rainforth